Marktechpost (@Marktechpost)T2·78 pts
- The 0.6B parameter model supports 23 languages and 44.1 kHz audio output with fully open weights and code (Apache 2.0).
- Key innovation involves training a 'realism critic' optimized via GRPO to capture human-like features like rhythm and pauses that WER misses.
- Achieves a 4.86% average error rate on CV3, beating VoxCPM2 and CosyVoice3, though low-resource languages like Thai remain weak at 48.57% WER.